CPMFSK as a Modulation on the VLF-HF Atmospheric Channel.

Abstract

Continuous phase multi-frequency shift keying (CPMFSK) is investigated as a potential modulation on the VLF-HF additive atmospheric noise channel. The effects of pre-detection filtering and general concerns of receiver design are addressed. Monte Carlo simulation is used to evaluate the error rate performance of CPMFSK in terms of E sub b/sigma squared where E sub b is the energy per bit and sigma squared is the received atmospheric noise variance. The error rate performance is determined for linear receivers as well as non-linear receivers consisting of linear receivers preceded by a zero-memory nonlinearity, such as a clipper or a hole puncher. In addition to the Monte Carlo simulation approach to error rate performance, a theoretical approach to analytically estimate error rate was begun, and the present status of this approach is documented herein. In the attempt to derive theoretical estimates of error-rate performance, it was found necessary to derive and evaluate mathematically tractable atmospheric noise models. These models are constrained to match some of the empirically determined first-order statistics of the atmospheric channel. Finally, transmitted signal power spectral densities (p.s.d.) are derived and displayed for the modulations of interest.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1977
Accession Number
ADA046293

Entities

People

  • Thomas A. Schonhoff

Organizations

  • Sylvania Electric Products

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Data Science
  • Detection
  • Digital Information
  • Frequency
  • Frequency Shift
  • Gaussian Noise
  • Information Science
  • Modulation
  • Monte Carlo Method
  • Order Statistics
  • Plastic Explosives
  • Probability
  • Random Variables
  • Statistics
  • Transfer Functions
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Radio communications and signal processing.